AI Toolchain Software Developer

Lattice SemiconductorMontreal, QC
Onsite

About The Position

As an AI Toolchain Software Developer, you'll apply emerging agentic AI techniques to transform how we build software, from automated code generation and intelligent testing to AI-assisted code review and deployment. Working across DevOps, software development, QA, and ML research teams, you'll design and ship LLM-powered agents that streamline every stage of the development lifecycle. It's a hands-on role where you'll gain deep experience at the intersection of AI and software engineering, and see your work change how a real engineering organization ships products. This is an in-person position with limited remote work possibilities.

Requirements

  • Degree in Computer Science, Computer Engineering, or a related field.
  • Minimum of 2 years of industry experience.
  • Proficiency in Python, with the ability to write clean, maintainable code for both prototyping and production environments.
  • Working knowledge of AI and large language model concepts, including prompt engineering and tool calling.
  • Strong problem-solving skills and a keen interest in agentic AI applications.
  • Solid experience with version control systems such as Git.
  • Familiarity with CI/CD pipelines, automated testing frameworks, or code review tooling.

Nice To Haves

  • Experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar platforms.
  • Experience with tool-integration protocols such as MCP (Model Context Protocol).
  • Familiarity with LLM APIs such as OpenAI, Anthropic, or open-source model serving solutions.
  • Understanding of retrieval-augmented generation (RAG), vector databases, or knowledge retrieval techniques.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying and scaling AI solutions.
  • Showcase any software development or AI projects and code worked on.

Responsibilities

  • Apply emerging agentic AI techniques to transform software building processes.
  • Develop automated code generation, intelligent testing, AI-assisted code review, and deployment solutions.
  • Design and ship LLM-powered agents to streamline the development lifecycle.
  • Collaborate with DevOps, software development, QA, and ML research teams.
  • Gain deep experience at the intersection of AI and software engineering.
  • Contribute to changing how a real engineering organization ships products.
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